Machine Learning for Social Services: A Study of Prenatal Case Management in Illinois.

Objectives.To evaluate the positive predictive value of machine learning algorithms for early assessment of adverse birth risk among pregnant women as a means of improving the allocation of social services. Methods. We used administrative data for 6457 women collected by the Illinois Department of H...

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Bibliographic Details
Published in:	American Journal of Public Health Vol. 107; no. 6; pp. 938 - 945
Main Authors:	Pan, Ian, Nolan, Laura B., Brown, Rashida R., Khan, Romana, van der Boor, Paul, Harris, Daniel G., Ghani, Rayid
Format:	Article
Published:	American Public Health Association Jun2017
Subjects:	United States Illinois Prenatal care Social services Artificial intelligence Forecasting Health care rationing Social impact assessment Pregnancy Machine learning Medical case management Labor complications (Obstetrics) Medical forecasting Algorithm research Illinois. Dept. of Human Services Diagnosis Risk assessment Predictive tests High-risk pregnancy Algorithms Descriptive statistics Computer-aided diagnosis
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